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module.exports = entry => pack(getModules(entry)) |
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const blessed = require("blessed"); | |
const earth = | |
" _____\r\n ,-:` \\;',`'-, \r\n .'-;_,; ':-;_,'.\r\n /; '/ , _`.-\\\r\n | '`. (` /` ` \\`|"; | |
// Create a screen object. | |
var screen = blessed.screen({ | |
smartCSR: true, | |
dockBorders: true | |
}); |
I hereby claim:
- I am adamisntdead on github.
- I am adamkelly2201 (https://keybase.io/adamkelly2201) on keybase.
- I have a public key ASAdj9vFFeoYQ7eSauChmQWoiy0jj1HHu1aRSubDV6Gaugo
To claim this, I am signing this object:
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RT @memecrashes: This meme is a sin. | |
(Submitted by @santiagoaciago) | |
https://t.co/UdzrevTHfY |
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import face_recognition | |
import cv2 | |
import numpy as np | |
# This is a demo of running face recognition on live video from your webcam. It's a little more complicated than the | |
# other example, but it includes some basic performance tweaks to make things run a lot faster: | |
# 1. Process each video frame at 1/4 resolution (though still display it at full resolution) | |
# 2. Only detect faces in every other frame of video. | |
# PLEASE NOTE: This example requires OpenCV (the `cv2` library) to be installed only to read from your webcam. |
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// The following is an implementation of OpenQASM | |
// using a recursive descent style parser. | |
// MainProgram := "OPENQASM" Real ";" Program | |
// Program ::= Statement | Program Statement | |
// Statement ::= Decl | |
// | GateDecl GeoList "}" | |
// | GateDecl "}" | |
// | "opaque" Id Idlist ";" | |
// | "opaque" Id "()" IdList ";" |
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